Customer Churn Analysis

Data Analysis

Project Overview

Identifying at-risk customers with AI that reduced churn rate by 25%. The solution uses behavioral analysis, engagement metrics, and sentiment data to predict which customers are likely to leave and recommend retention strategies.

Technologies Used

Scikit-learn, FastAPI, Power BI

Completion Date

September 2024

Project Category

Data Analysis

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